{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sys.path.append('../../')\n",
    "sys.path.append('../')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "PATH = \"E:\\\\WorkSpace\\\\DataSpace\\\\sh\\\\completely\\\\\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from bin.utils import walk_dir,read_mat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "路径 E:\\WorkSpace\\DataSpace\\sh\\completely\\ 扫描完成！\n"
     ]
    }
   ],
   "source": [
    "xp,yp = walk_dir(PATH)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_line(path):\n",
    "    label = read_mat(path,'y')\n",
    "    plt.plot(list(range(885)),label)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def draw_hist(path):\n",
    "    label = read_mat(path,'y')\n",
    "    plt.hist(label,bins=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "la =0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'E:\\\\WorkSpace\\\\DataSpace\\\\sh\\\\completely\\\\perclos_labels/10_20151125_noon.mat'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "yp[la]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_hist(yp[la])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_line(yp[la])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Pytorch",
   "language": "python",
   "name": "pytorch"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
